Title | ||
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Distributed Consensus-Based Boundary Observers For Freeway Traffic Estimation With Sensor Networks |
Abstract | ||
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We consider a freeway traffic network described by the linearized Aw-Rascle-Zhang (ARZ) model, which can be monitored at the boundaries by a set of sensors. Inspired by the consensus-based distributed filtering for the finite-dimensional systems, an extension to the infinite dimensional case by using Lyapunov techniques is studied. When consensus weights are known, we provide sufficient conditions under which the network model is detectable, i.e. for a specific choice of consensus weights there exists a set of filtering gains such that the dynamics of the estimation errors are exponentially stable for every agent. Some numerical studies provide a further insight on the effects of consensus-based boundary filtering. |
Year | DOI | Venue |
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2020 | 10.23919/ACC45564.2020.9147755 | 2020 AMERICAN CONTROL CONFERENCE (ACC) |
Keywords | DocType | ISSN |
Distributed boundary observer, ARZ model, Traffic flow network, Consensus-based filtering | Conference | 0743-1619 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liguo Zhang | 1 | 15 | 7.92 |
Yusheng Lu | 2 | 0 | 0.34 |